TODO for AI
vs 
Asana
By Marcell Havlik, founder of TODO for AI · Updated
Work management with assignable AI Teammates, Dash, and a no-code studio for cross-system workflows. Here is where each one wins, with numbers, and who should pick which.
| Fact | Asana | TODO for AI |
|---|---|---|
| Interface | Web, desktop, mobile | Web, desktop, mobile, CLI, IDE (Zed, JetBrains, VS Code), voice |
| Models | Vendor managed for AI Teammates; AI Studio rules can pick OpenAI, Anthropic or Google | Any provider: Claude, GPT, Gemini, Grok, Ollama |
| Source | Closed | Edge + CLI public |
| Starts at | Free | Free |
Key takeaways
- Models. Asana model choice: Vendor managed for AI Teammates; AI Studio rules can pick OpenAI, Anthropic or Google. TODO for AI runs any provider, Claude, GPT, Gemini, Grok or a local Ollama model, on one plan, and one model can review another's work.
- Benchmark. TODO for AI scored 89.9% on Terminal-Bench 2.1 with Opus 5.5 (high) (own harness, 80/89 tasks, 2026-10-08; not an official leaderboard submission).
- Price. Asana pricing: Personal free, Starter $10.99, Advanced $24.99 per user per month billed yearly, Enterprise custom. AI Teammates and Dash included since September 2026 with 5 AI requests per user per month; AI Studio runs on credits. TODO for AI has a free plan (Claude Sonnet only), then Starter $20, Pro $100 or Ultra $200 a month with any provider included.
- Where the work happens. Asana gets one task done inside the workspace and its connectors. TODO for AI is one board your team and agents work through together, on your own PC, a cloud VM and your logged-in Chrome.
- Who should pick which. Pick Asana if you need work management at scale: portfolios, goals, reporting. Pick TODO for AI if the agent needs a shell, a repo or your logged-in browser.
Asana
TODO for AI
Any providerWe are not competing for the same job
Asana gets the task done.
TODO for AI organises the whole company’s work.
Asana answers one question: how do I get this task done, inside the workspace and its connectors? So do the others — Cursor inside the editor, Claude Code in one person's session, Lindy by asking its assistant.
We answer a different one: where does the work live? One board per project, and a project for each part of the company — engineering, marketing, ops, finance, one per client. Your colleagues work on it. So do your agents, as many as you want to run, each with its own model, tools and permissions. Items carry the people who worked them and the agent that ran them, and the board filters by person, so what the company has in flight is one screen instead of a Slack thread.
That is not a team plan bolted onto an AI tool. It is the product. The agents are how items get closed; the board is what the company runs on.
What Asana is, and where it stops
Asana is the enterprise end of this comparison. AI Teammates are assignable in plain language, 30+ come prebuilt, and they read and write across connected apps such as Gmail, Slack, Drive and HubSpot. AI Studio builds multi-step automations with a model choice per rule, and the governance around it is the most mature here.
The perimeter is Asana and its connectors. There is no shell, no machine of your own and no session in your logged-in browser, so a portal without a connector stays out of reach. Teammates run on models Asana picks, and AI requests are capped at five per user per month before per-request billing starts.
Operations teams who want repeatable intake and routing automated inside Asana.
Three reasons Asana users look elsewhere
AI Teammates reach Asana and the apps it connects to. A vendor portal, an ad account or a CRM without a connector needs your logged-in browser, which Asana cannot use.
Paid plans include 5 AI requests per user per month, capped at 50 per account. Beyond that it is $0.50 to $0.60 per request.
No shell on your laptop, no cloud VM, no logged-in browser session. Anything that needs a command line goes back to a person.
Six dimensions that decide it
Asana 16/30TODO for AI 29/30How does Asana compare to TODO for AI, feature by feature?
| Feature | Asana | TODO for AI |
|---|---|---|
Persistent cloud VM An always-on machine. Files, logins and sessions survive between runs. | No | Yes |
Model choice | Vendor managed; per rule in AI Studio | Any provider |
Cross-vendor review Review GPT output with Claude, or the other way around. | No | Yes |
Drives your real browser Browser extension (Chrome, Firefox) plus cloud browsers. | No | Yes |
Business tasks, not only code SEO, email, ads, social, CRM via CLI tools. | Asana + connected apps | Yes |
Any CLI as an integration | Connectors + MCP | Any binary |
Voice control | No | Yes |
People and agents on one board Colleagues and agents work the same list. Items show who contributed and which agent ran them; filter the board by person. | Yes, AI Teammates on projects | Yes |
Many agents, each configured Each agent gets its own model, prompt, tools and permissions. Pick which one takes an item. | 30+ prebuilt teammates + custom | Unlimited, per task |
Projects for the whole company Engineering, marketing, ops, finance: separate projects and agents, one team and one bill. | Projects and portfolios | Unlimited, shared |
Team roles, pooled usage | Per seat + AI requests | Roles + pooled |
Tool permissions | Enterprise roles | Allow, approve, block |
Open runtime | No | Edge + CLI public |
Same ladder, different meter
Seats plus AI requests: 5 per user per month, capped at 50 per account, then $0.50 to $0.60 per request. AI Studio gets 50K to 200K credits per account.
One pool priced in dollars of model cost, spendable on any vendor. Session and weekly windows pace it, and a 1.3-1.5x plan multiplier applies, so a $20 plan is about $15 of list-price API. Team seat prices go into one shared pool.